Matches in SemOpenAlex for { <https://semopenalex.org/work/W48776723> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W48776723 endingPage "130" @default.
- W48776723 startingPage "115" @default.
- W48776723 abstract ". Making sense of earthquake forecasts is surprisingly difficult. In part, this is because the forecasts are based on a complicated mixture of geological maps, rules of thumb, expert opinion, physical models, stochastic models, and numerical simulations, as well as geodetic, seismic, and paleoseismic data. Even the concept of probability is hard to define in this context. For instance, the U.S. Geological Survey developed a probability model according to which the chance of an earthquake of magnitude 6.7 or greater before the year 2030 in the San Francisco Bay Area is 0.7 ± 0.1. How is that to be understood? Standard interpretations of probability cannot be applied. Despite their careful work, the USGS probability estimate is shaky, as is the uncertainty estimate." @default.
- W48776723 created "2016-06-24" @default.
- W48776723 creator A5070196637 @default.
- W48776723 date "2009-11-23" @default.
- W48776723 modified "2023-09-27" @default.
- W48776723 title "What is the Chance of an Earthquake?" @default.
- W48776723 cites W1568586753 @default.
- W48776723 cites W194111627 @default.
- W48776723 cites W1991602497 @default.
- W48776723 cites W2014729555 @default.
- W48776723 cites W2045638068 @default.
- W48776723 cites W2094438284 @default.
- W48776723 cites W2323136350 @default.
- W48776723 cites W2751862591 @default.
- W48776723 cites W3004253659 @default.
- W48776723 cites W584597337 @default.
- W48776723 doi "https://doi.org/10.1017/cbo9780511815874.010" @default.
- W48776723 hasPublicationYear "2009" @default.
- W48776723 type Work @default.
- W48776723 sameAs 48776723 @default.
- W48776723 citedByCount "9" @default.
- W48776723 countsByYear W487767232015 @default.
- W48776723 countsByYear W487767232017 @default.
- W48776723 countsByYear W487767232023 @default.
- W48776723 crossrefType "book-chapter" @default.
- W48776723 hasAuthorship W48776723A5070196637 @default.
- W48776723 hasConcept C11097651 @default.
- W48776723 hasConcept C11413529 @default.
- W48776723 hasConcept C127313418 @default.
- W48776723 hasConcept C13280743 @default.
- W48776723 hasConcept C151730666 @default.
- W48776723 hasConcept C165205528 @default.
- W48776723 hasConcept C2779343474 @default.
- W48776723 hasConcept C41008148 @default.
- W48776723 hasConcept C58754882 @default.
- W48776723 hasConcept C89246107 @default.
- W48776723 hasConceptScore W48776723C11097651 @default.
- W48776723 hasConceptScore W48776723C11413529 @default.
- W48776723 hasConceptScore W48776723C127313418 @default.
- W48776723 hasConceptScore W48776723C13280743 @default.
- W48776723 hasConceptScore W48776723C151730666 @default.
- W48776723 hasConceptScore W48776723C165205528 @default.
- W48776723 hasConceptScore W48776723C2779343474 @default.
- W48776723 hasConceptScore W48776723C41008148 @default.
- W48776723 hasConceptScore W48776723C58754882 @default.
- W48776723 hasConceptScore W48776723C89246107 @default.
- W48776723 hasLocation W487767231 @default.
- W48776723 hasOpenAccess W48776723 @default.
- W48776723 hasPrimaryLocation W487767231 @default.
- W48776723 hasRelatedWork W107906935 @default.
- W48776723 hasRelatedWork W2000686872 @default.
- W48776723 hasRelatedWork W2022035173 @default.
- W48776723 hasRelatedWork W2092739438 @default.
- W48776723 hasRelatedWork W2126314539 @default.
- W48776723 hasRelatedWork W2167517487 @default.
- W48776723 hasRelatedWork W2372438342 @default.
- W48776723 hasRelatedWork W2386816419 @default.
- W48776723 hasRelatedWork W3113596969 @default.
- W48776723 hasRelatedWork W4290000539 @default.
- W48776723 isParatext "false" @default.
- W48776723 isRetracted "false" @default.
- W48776723 magId "48776723" @default.
- W48776723 workType "book-chapter" @default.